Manager, Product Management – Customer Assist Observability

Capital One

Product Manager for Autonomous AI focusing on system safety and observability at Capital One. Partnering cross-functionally to build scalable architectures and enhance customer experiences.

Posted 5/17/2026full-timeMcLean • New York, Virginia • 🇺🇸 United StatesMid-LevelSenior💰 $164,800 - $188,100 per yearWebsite

Tech Stack

Tools & technologies

GrafanaSplunkSQL

About the role

Key responsibilities & impact

Step into the cutting-edge world of Autonomous AI as the Product Manager for ATLAS (Alerting, Traceability, Logging, Automated controls, & System observability) you will spearhead our strategy for system safety, automated controls, and robust observability.
Partner cross-functionally to build scalable, technology-driven architectures that deploy real-time alerts, ensure compliance, and drastically reduce incident recovery times.
Apply human-centered design and integrated problem-solving to translate complex whitespace challenges into an iterative, game-changing roadmap that empowers internal stakeholders.
Mitigate risks, uncover hidden opportunities, and drive the strategic investments needed to win in the AI space.

Requirements

What you’ll need

At least 3 years of experience working in Product Management
Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date: A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, Computer Engineering, Software Engineering, Mechanical Engineering, Information Systems or a related quantitative field) A Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, Computer Engineering, Software Engineering, Mechanical Engineering, Information Systems or a related quantitative field) or an MBA with a quantitative concentration
Hands-on experience or strong familiarity with industry-standard observability tools (e.g., Datadog, Splunk, New Relic, Grafana), OpenTelemetry (OTEL) standards, and Site Reliability Engineering (SRE) concepts like SLIs, SLOs, and MTTR.
Proficiency in translating complex, fragmented system logs into actionable insights using data visualization tools, structured querying (e.g., SQL), and prescriptive analytics.
At this time, Capital One will not sponsor a new applicant for employment authorization for this position.

Benefits

Comp & perks

Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being.

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

Product ManagementData VisualizationStructured QueryingPrescriptive AnalyticsObservabilityAutomated ControlsSystem SafetyHuman-Centered DesignIterative Roadmap DevelopmentRisk Mitigation

Soft Skills

Cross-Functional CollaborationProblem-SolvingStrategic ThinkingStakeholder EmpowermentOpportunity Identification

Certifications

Bachelor's DegreeMaster's DegreeMBA